Human Heart Disease Prediction System Using Data Mining Techniques
Journal Title: Sir Syed University Reseacrh Journal of Engineering and Technology - Year 2018, Vol 2, Issue
Abstract
— Prediction of heart disease is a big issue in now a day because in electronic life everyone is busy and due to heavy load of work people do not give attention to their health. To diagnose a disease is a big issue. The issue is to extract data that have some meaningful knowledge. For this, data mining technique is used to extract meaningful data. Decision Tree and ID3 is used to predict heart disease. Many researchers and practitioners are familiar with prediction of heart disease and wide range of techniques is available to predict disease. To address this problem, Decision Tree is used to predict the heart disease. In this the collected data is pre-processed, apply the Decision Tree algorithm and ID3 and then predict the heart disease.
Authors and Affiliations
Sidra Javed, Hamza Javed, Ayesha Saddique, Beenish Rafiq
Keywords
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